metadata
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
model-index:
- name: mt5-base-bcoqa
results: []
mt5-base-bcoqa
This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0503
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7933 | 0.1 | 3500 | 1.4891 |
| 1.594 | 0.2 | 7000 | 1.3193 |
| 1.4983 | 0.3 | 10500 | 1.2550 |
| 1.4311 | 0.4 | 14000 | 1.2163 |
| 1.4343 | 0.5 | 17500 | 1.1723 |
| 1.3635 | 0.61 | 21000 | 1.1518 |
| 1.3782 | 0.71 | 24500 | 1.1331 |
| 1.3782 | 0.81 | 28000 | 1.1126 |
| 1.3091 | 0.91 | 31500 | 1.1197 |
| 1.2328 | 1.01 | 35000 | 1.0967 |
| 1.2605 | 1.11 | 38500 | 1.0892 |
| 1.183 | 1.21 | 42000 | 1.0872 |
| 1.1713 | 1.31 | 45500 | 1.0963 |
| 1.2369 | 1.41 | 49000 | 1.0696 |
| 1.2542 | 1.51 | 52500 | 1.0672 |
| 1.2226 | 1.61 | 56000 | 1.0608 |
| 1.2013 | 1.72 | 59500 | 1.0538 |
| 1.1776 | 1.82 | 63000 | 1.0516 |
| 1.191 | 1.92 | 66500 | 1.0503 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1